Progyny (PGNY) Capital Expenditures (2018 - 2026)
Progyny (PGNY) reported Capital Expenditures of $6.22 million for Q2 2026, up 18.0% from $5.27 million a year earlier but down 2.0% from the prior quarter.
Progyny (PGNY) Capital Expenditures (2018 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Progyny's Capital Expenditures came in at $22.86 million, up 93.7% year-over-year; for FY2025, it was $18.41 million, up 240.6% from FY2024.
- Capital Expenditures has increased for five consecutive years, with a five-year compound annual growth rate of 77.8% (FY2020 to FY2025).
- By year, Capital Expenditures came in at $5.41 million in FY2024 (+48.3%), $3.64 million in FY2023 (+12.4%), $3.24 million in FY2022 (+52.2%) and $2.13 million in FY2021 (+105.3%).
- Five-year quarterly Capital Expenditures spans a low of $490,000 in Q2 2022 and a high of $6.35 million in Q1 2026.
- Year over year, Capital Expenditures has now increased in each of the last nine quarters, with growth averaging 188.5% over the last eight quarters.
- The high point for year-over-year Capital Expenditures in five years was Q4 2021 (growth of 530.9%); the low point was Q1 2024 (a decline of 32.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $6.35 million (Q1 2026), $5.61 million (Q4 2025) and $4.68 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | HCA Healthcare | 100.51 Bn | 96.52 Bn | - | 1.23 Bn |
| 2 | Natera | 57.27 Bn | 52.95 Bn | 485.19 Mn | 63.43 Mn |
| 3 | Quest Diagnostics | 26.09 Bn | 24.22 Bn | 1.03 Bn | 138.00 Mn |
| 4 | Labcorp Holdings | 26.08 Bn | 23.83 Bn | 1.11 Bn | 131.60 Mn |
| 5 | Tenet Healthcare | 22.29 Bn | 11.30 Bn | - | 168.00 Mn |
| 6 | Guardant Health | 21.03 Bn | 17.09 Bn | 219.03 Mn | 11.76 Mn |
| 7 | Fresenius Medical Care AG | 12.78 Bn | 4.73 Bn | 1.52 Bn | 279.43 Mn |
| 8 | BrightSpring Health Services | 12.65 Bn | 10.98 Bn | 492.75 Mn | 29.03 Mn |
| 9 | Davita | 12.13 Bn | 9.34 Bn | 1.16 Bn | 169.82 Mn |
| 10 | Progyny | 2.18 Bn | 1.06 Bn | 89.30 Mn | 6.22 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.22 Mn |
| Mar 31, 2026 | 6.35 Mn |
| Dec 31, 2025 | 5.61 Mn |
| Sep 30, 2025 | 4.68 Mn |
| Jun 30, 2025 | 5.27 Mn |
| Mar 31, 2025 | 2.84 Mn |
| Dec 31, 2024 | 1.90 Mn |
| Sep 30, 2024 | 1.79 Mn |
| Jun 30, 2024 | 866,000.00 |
| Mar 31, 2024 | 850,000.00 |
| Dec 31, 2023 | 681,000.00 |
| Sep 30, 2023 | 953,000.00 |
| Jun 30, 2023 | 759,000.00 |
| Mar 31, 2023 | 1.25 Mn |
| Dec 31, 2022 | 721,000.00 |
| Sep 30, 2022 | 1.24 Mn |
| Jun 30, 2022 | 490,000.00 |
| Mar 31, 2022 | 790,000.00 |
| Dec 31, 2021 | 612,000.00 |
| Sep 30, 2021 | 718,000.00 |
Progyny Capital Expenditures API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=capital-expenditures&ticker=PGNY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "ticker": "PGNY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=capital-expenditures&ticker=PGNY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();